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Internship for Master's students

Objectives:

6-month internship. As part of the ongoing joint industry research project (INJECTWELL), a series of CO2 injection core-flood experiments were conducted to study the impact of injection rate, brine saturation, and cyclicity on salt precipitation and injectivity. These experiments must be numerically reproduced in order to understand the kinetics and impact of key matching parameters on salt precipitation obtained in the lab. TOUGH2 and CMG GEM should be used as tools with respective benchmarking. Based on performance, the internship can be extended into a master’s thesis.

Tasks and deliverables:

  • Become familiar with TOUGH2 and GEM, as well as approaches for modeling CO2-water interaction and salt precipitation.
  • Build a numerical model that mimics the core-flood experiment; incorporate the required physical model.
  • Perform history matching of core-flood experiments; evaluate the impact of gravity and capillary forces in 1D and 2D models.
  • Support the development of an approach for upscaling laboratory results to field scale.

Requirements:

  • Expertise in numerical reservoir modeling
  • Expertise in PVT modeling, fluid thermodynamics, and mechanics
  • Coding skills are beneficial but not required  
  • Basic experience with CMG GEM or any other product from the CMG family is a plus

References:

  1. Andrè L., et al, Impact of porous medium desiccation during anhydrous CO2 injection in deep saline aquifers: upscaling from experimental results at laboratory scale to the near-well region. Energy Procedia 4, 2011.
  2. Yannick Peysson, Laurent André, Mohamed Azaroual. Well injectivity during CO2 storage operations in deep saline aquifers--Part 1: Experimental investigation of drying effects, salt precipitation, and capillary forces. International Journal of Greenhouse Gas Control, 2014, 22, pp.291-300. ⟨10.1016/j.ijggc.2013.10.031⟩. ⟨hal-00932767⟩

Location:

Kassel

Start/Duration:

ASAP, duration 6 months

Contact:

Institute of Subsurface Energy Systems
Department of Reservoir Engineering

Dr.-Ing. Bettina Jenei
bettina.@.jeneitu-clausthalde